Loading…

Quantifying Sediment Provenance Using Multiple Composite Fingerprints in a Small Watershed in Oklahoma

Quantitative information on sediment provenance is needed for improved calibration and validation of process‐based soil erosion models. However, sediment source data are often limited due to difficulties in directly measuring source contributions at a watershed scale. Our objectives in this study we...

Full description

Saved in:
Bibliographic Details
Published in:Journal of environmental quality 2016-07, Vol.45 (4), p.1296-1302
Main Authors: Zhang, X. C. (John), Liu, B. L., Liu, B., Zhang, G. H.
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Quantitative information on sediment provenance is needed for improved calibration and validation of process‐based soil erosion models. However, sediment source data are often limited due to difficulties in directly measuring source contributions at a watershed scale. Our objectives in this study were to estimate sediment source contributions in a 15‐km2 watershed using analytical solutions to a three end‐member mixing model using multiple composite fingerprints and to compare the results with those estimated with a single radionuclide, 137Cs. Surface soil samples were collected from 23 croplands, 19 rangelands, and 26 gully banks in the watershed, and 31 geochemical elements were analyzed for each sample. The elements served as tracers and were screened using statistical tests and range checks. The mean concentrations of all the nonconflict tracer pairs were used in the mixing model to calculate source contributions for the three sources. Results showed that although source contributions were strongly influenced by topography and land use, gully or subsoil erosion was found to be the main source of fine sediment in most subwatersheds. This study demonstrates that estimated source contributions may vary substantially among different composite fingerprints and that the use of multiple composite fingerprints greatly improves accuracy while reducing uncertainty. The source contributions estimated using multiple composite fingerprints agreed well with those estimated with 137Cs, with a correlation coefficient of 0.69 for gully contributions. This good agreement increases our confidence in using the multiple composite fingerprint method to identify sediment provenance in relatively small watersheds. Core Ideas Sediment source contributions were estimated using multiple composite fingerprints. Contributions from analytical solutions were compared with estimates using 137Cs. Source contributions varied substantially among different composite fingerprints. Multiple fingerprints greatly improved accuracy/certainty to identify sediment provenance.
ISSN:0047-2425
1537-2537
DOI:10.2134/jeq2015.10.0538